Meghana Madhyastha

20 papers A* 5A 2Misc 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
On Harnessing Idle Compute at the Edge for Foundation Model Training.
EuroMLSys@EuroSys
Leyang Xue, Meghana Madhyastha, Myungjin Lee, Amos J. Storkey, Randal C. Burns, Mahesh K. Marina
2026 J jnl
To 2:4 Sparsity and Beyond: Neuron-level Activation Function to Accelerate LLM Pre-Training.
CoRR
Meghana Madhyastha, Daniel Haziza, Jesse Cai, Newsha Ardalani, Zhiqi Bu, Carole-Jean Wu
2025 J jnl
Composer: A Search Framework for Hybrid Neural Architecture Design.
CoRR
Bilge Acun, Prasoon Sinha, Newsha Ardalani, Sangmin Bae, Alicia Golden, Chien-Yu Lin, Meghana Madhyastha, Fei Sun, Neeraja J. Yadwadkar, Carole-Jean Wu
2025 J jnl
On Harnessing Idle Compute at the Edge for Foundation Model Training.
CoRR
Leyang Xue, Meghana Madhyastha, Myungjin Lee, Amos J. Storkey, Randal C. Burns, Mahesh K. Marina
2025 A* conf
Poster: On Harnessing Idle Compute at the Edge for Foundation Model Training.
MobiCom
Leyang Xue, Meghana Madhyastha, Myungjin Lee, Amos Storkey, Randal C. Burns, Mahesh K. Marina
2025 J jnl
Towards Decentralized and Sustainable Foundation Model Training with the Edge.
CoRR
Leyang Xue, Meghana Madhyastha, Randal C. Burns, Myungjin Lee, Mahesh K. Marina
2024 A conf
EvoStore: Towards Scalable Storage of Evolving Learning Models.
HPDC
Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae
2024 J jnl
Masked Matrix Multiplication for Emergent Sparsity.
CoRR
Brian Wheatman, Meghana Madhyastha, Randal C. Burns
2024 A* conf
T-Rex (Tree-Rectangles): Reformulating Decision Tree Traversal as Hyperrectangle Enclosure.
ICDE
Meghana Madhyastha, Tamas Budavari, Vladimir Braverman, Joshua T. Vogelstein, Randal C. Burns
2023 A conf
DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access.
ICS
Meghana Madhyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae
2023 Misc conf
Understanding Patterns of Deep Learning Model Evolution in Network Architecture Search.
HiPC
Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae
2023 J jnl
Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search.
CoRR
Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae
2022 J jnl
Prospective Learning: Back to the Future.
CoRR
Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam S. Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael L. Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang
2021 A* conf
BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment.
KDD
Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns
2020 A* conf
Geodesic Forests.
KDD
Meghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe
2020 J jnl
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment.
CoRR
Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns
2019 J jnl
Geodesic Learning via Unsupervised Decision Forests.
CoRR
Meghana Madhyastha, Percy Li, James Browne, Veronika Strnadová-Neeley, Carey E. Priebe, Randal C. Burns, Joshua T. Vogelstein
2019 A* conf
Inferring Concept Prerequisite Relations from Online Educational Resources.
AAAI
Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan
2018 J jnl
Inferring Concept Prerequisite Relations from Online Educational Resources.
CoRR
Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan
2017 — conf
Online scheduling of a fleet of autonomous vehicles using agent-based procurement auctions.
SOLI
Meghana Madhyastha, Sriveda Chevuru Reddy, Shrisha Rao